• Building Hyperlocal from 0 to 1• Contributed as a core team member to build the Hyperlocal MVP, including the pricing engine & serviceability service from scratch, enhanced UI for order creation, vehicle allocation, and tracking on OS1 Platform• Built an internal platform for self-serve Lakemarts using Data Mesh principles on Databricks, used by several teams; integrated Large Language Models (LLMs)• Built a comprehensive Penny Counter Dashboard with an underlying Spark job to… Show more • Building Hyperlocal from 0 to 1• Contributed as a core team member to build the Hyperlocal MVP, including the pricing engine & serviceability service from scratch, enhanced UI for order creation, vehicle allocation, and tracking on OS1 Platform• Built an internal platform for self-serve Lakemarts using Data Mesh principles on Databricks, used by several teams; integrated Large Language Models (LLMs)• Built a comprehensive Penny Counter Dashboard with an underlying Spark job to consolidate and allocate costs of DWH components (e.g., Kafka, Kubernetes, TiDB, S3) at user and team levels based on several metrics• Developed a GenAI data pipeline, Disruption Radar for real-time news impact analysis, predicting operational delays in Delhivery’s ground operations due to events such as political rallies or flooding• Engineered an internal S3 to Kafka data sync application with dynamic scaling capabilities, utilizing Kubernetes, SQS, SNS, KEDA, and Pandas• Created a Python SDK on top of Amazon Asset Bundle APIs, facilitating end-to-end migration of approximately 500 dashboards, analyses, datasets, and folders on Quicksight• Implemented Gsheet to S3 integration using AWS Lambda to automate data transfer processes• Created a disaster recovery system to ensure delivery of all priority reports via Redash in case of a primary job orchestrator platform failure Show less

• Worked on development, optimization and deployment of Real time & Batch ETL Data Pipelines using Kafka and Spark Streaming• Collaborated with multiple stakeholders and migrated whole flow of Payment & Fraud Detection Pipeline to AWS• Built Data Side of Limit Upgrade Framework for 3cr+ Merchant base• Built a Real Time Config Driven Alerting System which detects anomaly of offline & online merchants based on several rules & thresholds• Built a kafka data quality check framework… Show more • Worked on development, optimization and deployment of Real time & Batch ETL Data Pipelines using Kafka and Spark Streaming• Collaborated with multiple stakeholders and migrated whole flow of Payment & Fraud Detection Pipeline to AWS• Built Data Side of Limit Upgrade Framework for 3cr+ Merchant base• Built a Real Time Config Driven Alerting System which detects anomaly of offline & online merchants based on several rules & thresholds• Built a kafka data quality check framework which alerts data issues in real time• Worked on Paytm in-house ETL framework (Jitpipe) which supports both DIY and Non-DIY jobs & various sources (Kafka, Kinesis) and sinks (Cassandra, S3, HDFS)• Worked on fully automation of several reports and dashboards which are directly sent to banks and external stakeholders• Worked on PagerDuty on-call shifts and resolved several p0 data pipeline issues in PPBL, PG, OCL & Lending• Improved job performance and efficiency resulting in significant reduction in EMR costing• Worked across several teams (Lending-DWH, Ingest and Sync, Rule Engine) on ad-hoc basis and ensured timely delivery of tasks Show less

• Migrated Risk & Fraud Detection Pipelines to AWS• Implemented hashing of PII data in several datasets as per RBI mandate• Contributed in onboarding of Customer Trust Score pipeline to AWS• Worked on backfilling of several attributes as per rule engine requirements • Briefly worked on Paytm Datalake UI using React.js

• Developed MyWays' official android app using React Native, Node.JS, Express and MongoDB.• Launched several new features such as Premium, Practicum+ and Employee Positioning System.